PoTS: Proof-Of-Training-Steps for Backdoor Detection in Large Language Models

As Large Language Models LLMs gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malicious actors inject hidden triggers into training data, are particularly insidious and difficult to detect. Existing...

Guest Post: Bamm Visscher on Detection

Yesterday my friend Bamm Visscher published a series of Tweets on detection. I thought readers might like to digest it as a lightly edited blog post. Here, then, is the first ever as far as I can remember guest post on TaoSecurity Blog. Enjoy. When you receive new threat intel and apply it in you...